Europe is approaching to a demographic change. Among other measures, we shall prepare ourselves with politics of active aging that could improve the lives of the families who have some member with problems to carry out his or her daily activity.
On a worldwide level, 47.6 million of people are suffering dementia,
The 10% of the world population is born with some kind of disability. Some people are born with disabilities that imply disadvantages in a non-inclusive society. Others develop a disability throughout their lives because of an accident or an illness. They can and they want to feel capable.
Scientific advancements have a slow advance when it comes to neurodegenerative diseases, especially because of the erratic funding in basic research. Assistive technologies are not a solution, but they can improve the quality of life of those who suffer from an illness and to better integrate people with some kind of disability.
These technologies consist of the integration of eletrocnic elements in our daily environment, so they alow us to complement or to mantain our quality of life. We could wear these elements on our bodies or in our clothes (wearables), they could also be elements of mechanical assistance such as robots and elevators.
A product starts as an idea that is prototyped in a laboratory. Then, we usually work with some volunteers or people who receive some kind of reward for their effort. With this experience, we learn and we redesign the product. Afterwards, the industrial production is planned and executed. It only remains to deliver the product to the end user. During all this process, there is a huge expense of material and human resources. Not everybody can afford it.
Many projects fail because they do not propose an interesting solution for those who will use it. To avoid this frustration, volunteers are being included in the creation of the products. This decision raises the price, because we require facilities to test the product and compensations for the volunteers for their effort. Moreover, it poses new questions. Let's imagine that we create a fall detector: Do we ask the volunteer to fall down? Will the product detect the fall down a staircase?.
Every person is unique. Adjusting assistive technology to every particular case is an expensive process. Industrial models are guided by large-scale production of completely equal products. When the group of end users is small or relative small, we cannot produce affordable solutions adjusted to each one's problems.
The trials are slow because reliability must be guaranteed. In addition, a large part of what is required imply a mechanical assistance, fon instance, when someone falls down, to help this person stand up.
We want that every person who has knowledge can contribute.
To reduce the costs. So the lack of many resources do not involve an obstacle.
To break with the limitations. To talk about what does not exist yet and how we want it to be.
To systematize the development and to standardize a responsible experimentation in assistive technologies.
Among professionals and specialists recreate in computer simulations the situations described by patients. The patient's behavior is modeled in an ideal scenario and then each action is altered according to the disability.
The result is commented again to determine if what the technologists have defined fits in with what was expected.
It was developed by students and the technology that was used served to facilitate the initial prototype of the solution. All the documentation that reports the required elements is available, so a similar product can be created.
A basic gesture recognizer (its evolution is in process to be patented) and a fall detector in big facilities. Developed using simulations and produce with open hardware. It won the award for IBM en la conferencia PAAMS 2016.
With the information of the traffic of people in a specific point of a building, we try to know the amount of people that there are in the rest of the building without invading their privacy.
Based on technology to recognize activities, we want to develop a system that learn the costumes of the patient and that identifies when an activity has been done, has not been done or is half done.
Describing how a TV remote control that accepts user's mild tremor would be.